qml.pauli.PauliSentence

class PauliSentence

Bases: dict

Dictionary representing a linear combination of Pauli words, with the keys as PauliWord instances and the values correspond to coefficients.

>>> ps = qml.pauli.PauliSentence({
        qml.pauli.PauliWord({0:'X', 1:'Y'}): 1.23,
        qml.pauli.PauliWord({2:'Z', 0:'Y'}): -0.45j
    })
>>> ps
1.23 * X(0) @ Y(1)
+ (-0-0.45j) * Z(2) @ Y(0)

Attributes

wires

Track wires of the PauliSentence.

wires

Track wires of the PauliSentence.

Methods

hamiltonian([wire_order])	Returns a native PennyLane Hamiltonian representing the PauliSentence.
map_wires(wire_map)	Return a new PauliSentence with the wires mapped.
operation([wire_order])	Returns a native PennyLane Operation representing the PauliSentence.
simplify([tol])	Remove any PauliWords in the PauliSentence with coefficients less than the threshold tolerance.
to_mat(wire_order[, format])	Returns the matrix representation.

hamiltonian(wire_order=None)

Returns a native PennyLane Hamiltonian representing the PauliSentence.

map_wires(wire_map)

Return a new PauliSentence with the wires mapped.

operation(wire_order=None)

Returns a native PennyLane Operation representing the PauliSentence.

simplify(tol=1e-08)

Remove any PauliWords in the PauliSentence with coefficients less than the threshold tolerance.

to_mat(wire_order, format='dense')

Returns the matrix representation.

Keyword Arguments

• wire_order (iterable or None) – The order of qubits in the tensor product.

• format (str) – The format of the matrix (“dense” by default), if not a dense matrix, then the format for the sparse representation of the matrix.

Returns

Matrix representation of the PauliSentence.

Return type

(Union[NumpyArray, ScipySparseArray])

Rasies:

ValueError: Can’t get the matrix of an empty PauliSentence.

code/api/pennylane.pauli.PauliSentence

 

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